Wenbin Lu

According to our database, Wenbin Lu authored at least 48 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Interpretable machine-learning model for real-time, clustered risk factor analysis of sepsis and septic death in critical care.

Zhengyu Jiang, Lulong Bo, Lei Wang, Yan Xie, Jianping Cao, Ying Yao, Wenbin Lu, Xiaoming Deng, Tao Yang, Jinjun Bian

Comput. Methods Programs Biomed., November, 2023

Jump Interval-Learning for Individualized Decision Making with Continuous Treatments.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

J. Mach. Learn. Res., 2023

Research and Design of Nand Flash Array From Host to Flash Translation Layer.

Boyang Ding, Songyan Liu, Tao Lv, Yao Liu, Wenbin Lu

IEEE Access, 2023

Multiply Robust Off-policy Evaluation and Learning under Truncation by Death.

Jianing Chu, Shu Yang, Wenbin Lu

Proceedings of the International Conference on Machine Learning, 2023

2022

A Probit Tensor Factorization Model For Relational Learning.

Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao

J. Comput. Graph. Stat., July, 2022

TransModel: An R Package for Linear Transformation Model with Censored Data.

Jie Zhou, Jiajia Zhang, Wenbin Lu

J. Stat. Softw., 2022

Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies.

Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song

CoRR, 2022

On Learning and Testing of Counterfactual Fairness through Data Preprocessing.

Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh

CoRR, 2022

A visual identification method for the apple growth forms in the orchard.

Jidong Lv, Hao Xu, Ying Han, Wenbin Lu, Liming Xu, Hailong Rong, Biao Yang, Ling Zou, Zhenghua Ma

Comput. Electron. Agric., 2022

Extending OpenMP and OpenSHMEM for Efficient Heterogeneous Computing.

Wenbin Lu, Shilei Tian, Tony Curtis, Barbara M. Chapman

Proceedings of the IEEE/ACM Parallel Applications Workshop: Alternatives To MPI+X, 2022

Towards Efficient Remote OpenMP Offloading.

Wenbin Lu, Baodi Shan, Eric Raut, Jie Meng, Mauricio Araya-Polo, Johannes Doerfert, Abid Muslim Malik, Barbara M. Chapman

Proceedings of the OpenMP in a Modern World: From Multi-device Support to Meta Programming, 2022

Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems.

Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

Testing error heterogeneity in censored linear regression.

Caiyun Fan, Wenbin Lu, Yong Zhou

Comput. Stat. Data Anal., 2021

Jump Interval-Learning for Individualized Decision Making.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

CoRR, 2021

CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search.

Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang

CoRR, 2021

Gene-set integrative analysis of multi-omics data using tensor-based association test.

Sheng-Mao Chang, Meng Yang, Wenbin Lu, Yu-Jyun Huang, Yueyang Huang, Hung Hung, Jeffrey C. Miecznikowski, Tzu-Pin Lu, Jung-Ying Tzeng

Bioinform., 2021

UCX Programming Interface for Remote Function Injection and Invocation.

Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole

Proceedings of the OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks, 2021

OpenSHMEM Active Message Extension for Task-Based Programming.

Wenbin Lu, Tony Curtis, Barbara M. Chapman

Proceedings of the OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks, 2021

Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning.

Hengrui Cai, Rui Song, Wenbin Lu

Proceedings of the 9th International Conference on Learning Representations, 2021

Online Testing of Subgroup Treatment Effects Based on Value Difference.

Miao Yu, Wenbin Lu, Rui Song

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Model Test Study on the Anisotropic Characteristics of Columnar Jointed Rock Mass.

Zhende Zhu, Xiangcheng Que, Zihao Niu, Wenbin Lu

Symmetry, 2020

Anisotropic Constitutive Model of Intermittent Columnar Jointed Rock Masses Based on the Cosserat Theory.

Wenbin Lu, Zhende Zhu, Xiangcheng Que, Cong Zhang, Yanxin He

Symmetry, 2020

Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis.

Amanda Brucker, Wenbin Lu, Rachel Marceau West, Qi-You Yu, Chuhsing Kate Hsiao, Tzu-Hung Hsiao, Ching-Heng Lin, Patrik K. E. Magnusson, Patrick F. Sullivan, Jin P. Szatkiewicz, Tzu-Pin Lu, Jung-Ying Tzeng

PLoS Comput. Biol., 2020

Breaking the Curse of Nonregularity with Subagging - Inference of the Mean Outcome under Optimal Treatment Regimes.

Chengchun Shi, Wenbin Lu, Rui Song

J. Mach. Learn. Res., 2020

Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space.

Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

CoRR, 2020

Statistical Inference for Online Decision Making via Stochastic Gradient Descent.

Haoyu Chen, Wenbin Lu, Rui Song

CoRR, 2020

Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting.

Haoyu Chen, Wenbin Lu, Rui Song

CoRR, 2020

Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings.

Chengchun Shi, Sheng Zhang, Wenbin Lu, Rui Song

CoRR, 2020

Checkpointing OpenSHMEM Programs Using Compiler Analysis.

Md Abdullah Shahneous Bari, Debasmita Basu, Wenbin Lu, Tony Curtis, Barbara M. Chapman

Proceedings of the 10th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2020

Kernel Assisted Learning for Personalized Dose Finding.

Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Toward Supporting Multi-GPU Targets via Taskloop and User-Defined Schedules.

Vivek Kale, Wenbin Lu, Anthony Curtis, Abid Muslim Malik, Barbara M. Chapman, Oscar R. Hernandez

Proceedings of the OpenMP: Portable Multi-Level Parallelism on Modern Systems, 2020

Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health.

Liangyu Zhu, Wenbin Lu, Rui Song

Proceedings of the 37th International Conference on Machine Learning, 2020

Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making.

Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng

Proceedings of the 37th International Conference on Machine Learning, 2020

On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies.

Hengrui Cai, Wenbin Lu, Rui Song

Proceedings of the 37th International Conference on Machine Learning, 2020

A New Framework for Online Testing of Heterogeneous Treatment Effect.

Miao Yu, Wenbin Lu, Rui Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Identifying individual risk rare variants using protein structure guided local tests (POINT).

Rachel Marceau West, Wenbin Lu, Daniel M. Rotroff, Mélaine A. Kuenemann, Sheng-Mao Chang, Michael C. Wu, Michael J. Wagner, John B. Buse, Alison A. Motsinger-Reif, Denis Fourches, Jung-Ying Tzeng

PLoS Comput. Biol., 2019

Determining the Number of Latent Factors in Statistical Multi-Relational Learning.

Chengchun Shi, Wenbin Lu, Rui Song

J. Mach. Learn. Res., 2019

Privacy-preserving content-based image retrieval for mobile computing.

Yong Wang, Fei Liu, Zimao Pang, Abdelrhman Hassan, Wenbin Lu

J. Inf. Secur. Appl., 2019

Frequency offset insensitive demodulation algorithm for satellite-based automatic identification system.

Haosu Zhou, Wenbin Lu, Zhenbin Lv, Hui Gu, Zhenfu Liu

Int. J. Satell. Commun. Netw., 2019

Enabling Low-Overhead Communication in Multi-threaded OpenSHMEM Applications using Contexts.

Wenbin Lu, Tony Curtis, Barbara M. Chapman

Proceedings of the 2019 IEEE/ACM Parallel Applications Workshop, Alternatives To MPI, 2019

2017

Sparse Concordance-assisted Learning for Optimal Treatment Decision.

Shuhan Liang, Wenbin Lu, Rui Song, Lan Wang

J. Mach. Learn. Res., 2017

2016

Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level.

X. Jessie Jeng, Z. John Daye, Wenbin Lu, Jung-Ying Tzeng

PLoS Comput. Biol., 2016

2014

Sample size calculation for the proportional hazards model with a time-dependent covariate.

Songfeng Wang, Jiajia Zhang, Wenbin Lu

Comput. Stat. Data Anal., 2014

NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model.

Chao Cai, Songfeng Wang, Wenbin Lu, Jiajia Zhang

Comput. Methods Programs Biomed., 2014

2013

Partially linear single index Cox regression model in nested case-control studies.

Shulian Shang, Mengling Liu, Anne Zeleniuch-Jacquotte, Tess V. Clendenen, Vittorio Krogh, Goran Hallmans, Wenbin Lu

Comput. Stat. Data Anal., 2013

2012

Variance estimation in censored quantile regression via induced smoothing.

Lei Pang, Wenbin Lu, Huixia Judy Wang

Comput. Stat. Data Anal., 2012

2010

On sparse estimation for semiparametric linear transformation models.

Hao Helen Zhang, Wenbin Lu, Hansheng Wang

J. Multivar. Anal., 2010